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Statistical Techniques for Particle Physics

This is a collection of links to video lectures related to statistical methods used in particle physics from CERN - Introduction to statistics for particle physics, statistics for the LHC, data mining in particle physics, etc.


Video/text Practical Statistics for LHC Physicists
Description By Harrison Prosper, 2015. These lectures cover those principles and practices of statistics that are most relevant for work at the LHC. The first lecture discusses the basic ideas of descriptive statistics, probability and likelihood. The second lecture covers the key ideas in the frequentist approach, including confidence limits, profile likelihoods, p-values, and hypothesis testing. The third lecture covers inference in the Bayesian approach. Throughout, real-world examples will be used to illustrate the practical application of the ideas. No previous knowledge is assumed.

Video/text Statistical Methods for Particle Physics
Description By Glen Cowan, 2012. The series of four lectures will introduce some of the important statistical methods used in Particle Physics, and should be particularly relevant to those involved in the analysis of LHC data. The lectures will include an introduction to statistical tests, parameter estimation, and the application of these tools to searches for new phenomena. ...

Video/text Statistics for the LHC: Quantifying our Scientific Narrative
Description By Kyle Cranmer, 2011. The emphasis of these lectures is how we can translate the scientific narrative of why we think we know what we know into quantitative statistical statements about the presence or absence of new physics. ...

Video/text Statistics and Discoveries at the LHC
Description By Glen Cowan, 2010. The lectures will give an introduction to statistics as applied in particle physics and will provide all the necessary basics for data analysis at the LHC. Special emphasis will be placed on the the problems and questions that arise when searching for new phenomena. ...

Video/text Statistical Techniques for Particle Physics
Description By Kyle Cranmer, 2009. This series will consist of four 1-hour lectures on statistics for particle physics. The goal will be to build up to techniques meant for dealing with problems of realistic complexity while maintaining a formal approach. I will also try to incorporate usage of common tools like ROOT, RooFit, and the newly developed RooStats framework into the lectures. ...

Video/text Multivariate statistical methods and data mining in particle physics
Description By Glen Cowan, 2008. The lectures will cover multivariate statistical methods and their applications in High Energy Physics. The methods will be viewed in the framework of a statistical test, as used e.g. to discriminate between signal and background events. ...

Video/text Practical Statistics for Particle Physicists
Description By Louis Lyons, 2006. Lectures: 1. Learning to love the error matrix; 2. Parameter determination by likelihood: Do's and don'ts; 3. Chi-squared and hypothesis testing; 4. Bayes, Frequentism and limits; 5. Discovery and p-values. ...

Video/text Telling the truth with statistics
Description By G. D'Agostini, 2005. The issue of evaluating and expressing the uncertainty in measurements, as well as that of testing hypotheses, is reviewed, with particular emphasis on the frontier cases typical of particle physics experiments. ...

Video/text Telling the Truth with Statistics
Description By Roger Barlow, 2002. This course of lectures will cover probability, distributions, fitting, errors and confidence levels, for practising High Energy Physicists who need to use Statistical techniques to express their results. Concentrating on these appropriate specialist techniques means that they can be covered in appropriate depth, while assuming only the knowledge and experience of a typical Particle Physicist. ...

Video/text Telling the Truth with Statistics
Description By Frederick James, 2000. How to tell the truth with Statistics? Lying with statistics is easy. A greater challenge is to use statistics to communicate an accurate and objective summary of given experimental data. ...